{"id":"https://openalex.org/W4311251663","doi":"https://doi.org/10.48550/arxiv.2212.04917","title":"TRBLLmaker -- Transformer Reads Between Lyrics Lines maker","display_name":"TRBLLmaker -- Transformer Reads Between Lyrics Lines maker","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4311251663","doi":"https://doi.org/10.48550/arxiv.2212.04917"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2212.04917","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04917","pdf_url":"https://arxiv.org/pdf/2212.04917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.04917","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052035274","display_name":"Mor Ventura","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ventura, Mor","raw_affiliation_strings":["Technion -IIT Technion -IIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion -IIT Technion -IIT","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053007363","display_name":"Michael Toker","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Toker, Michael","raw_affiliation_strings":["Technion -IIT Technion -IIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion -IIT Technion -IIT","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/song-lyrics","display_name":"song lyrics","score":0.7250000238418579},{"id":"https://openalex.org/keywords/text-to-text-generation","display_name":"text-to-text generation","score":0.6850000023841858},{"id":"https://openalex.org/keywords/gpt-2","display_name":"GPT-2","score":0.8980000019073486},{"id":"https://openalex.org/keywords/t5","display_name":"T5","score":0.9509999752044678},{"id":"https://openalex.org/keywords/prompt-engineering","display_name":"prompt engineering","score":0.6230000257492065},{"id":"https://openalex.org/keywords/decoding-algorithms","display_name":"decoding algorithms","score":0.7459999918937683},{"id":"https://openalex.org/keywords/musical-semantics","display_name":"music semantics","score":0.41600000858306885},{"id":"https://openalex.org/keywords/rouge-evaluation","display_name":"ROUGE evaluation","score":0.6489999890327454},{"id":"https://openalex.org/keywords/music-recommendation","display_name":"music recommendation","score":0.5289999842643738}],"concepts":[{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.8681679964065552},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8289626240730286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298299670219421},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6062193512916565},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.6007866263389587},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5889055132865906},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5884702205657959},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5029868483543396},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43602487444877625},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4353013038635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40576809644699097},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.40195944905281067},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.20949244499206543},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.19863295555114746},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1662324070930481},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.09537574648857117},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07624077796936035},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07341384887695312},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2212.04917","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04917","pdf_url":"https://arxiv.org/pdf/2212.04917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2212.04917","doi":"https://doi.org/10.48550/arxiv.2212.04917","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.04917","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2212.04917","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.04917","pdf_url":"https://arxiv.org/pdf/2212.04917","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2360952181","https://openalex.org/W4310670065","https://openalex.org/W634160686","https://openalex.org/W2597614303","https://openalex.org/W3214861561","https://openalex.org/W2389838651","https://openalex.org/W437317580","https://openalex.org/W2352995288","https://openalex.org/W2365365224","https://openalex.org/W1532663766"],"abstract_inverted_index":{"Even":[0],"for":[1,89],"us,":[2],"it":[3],"can":[4],"be":[5],"challenging":[6],"to":[7,40,73,178,190],"comprehend":[8],"the":[9,20,24,29,50,104,107,115,123,128,134,141,149,152,155,158,184,192],"meaning":[10,25],"of":[11,15,22,26,32,52,92,109,117,122,127,136,143,151,157,194],"songs.":[12,27],"As":[13],"part":[14],"this":[16,78,118],"project,":[17],"we":[18,80,113,161,182],"explore":[19],"process":[21],"generating":[23],"Despite":[28],"widespread":[30],"use":[31],"text-to-text":[33],"models,":[34],"few":[35],"attempts":[36],"have":[37],"been":[38],"made":[39],"achieve":[41],"a":[42,82,93,98,110],"similar":[43],"objective.":[44],"Songs":[45],"are":[46],"primarily":[47],"studied":[48],"in":[49,61],"context":[51],"sentiment":[53],"analysis.":[54],"This":[55],"involves":[56],"identifying":[57],"opinions":[58],"and":[59,69,154,170,196],"emotions":[60],"texts,":[62],"evaluating":[63],"them":[64],"as":[65,148,199,201],"positive":[66],"or":[67],"negative,":[68],"utilizing":[70],"these":[71],"evaluations":[72],"make":[74],"music":[75],"recommendations.":[76],"In":[77,176],"paper,":[79],"present":[81],"generative":[83],"model":[84,96],"that":[85,121],"offers":[86],"implicit":[87],"meanings":[88],"several":[90],"lines":[91],"song.":[94,111,159],"Our":[95],"uses":[97],"decoder":[99],"Transformer":[100,125],"architecture":[101,119,126],"GPT-2,":[102],"where":[103],"input":[105],"is":[106],"lyrics":[108,193],"Furthermore,":[112],"compared":[114],"performance":[116],"with":[120,140,166],"encoder-decoder":[124],"T5":[129],"model.":[130],"We":[131],"also":[132],"examined":[133],"effect":[135],"different":[137,163,167],"prompt":[138],"types":[139],"option":[142],"appending":[144],"additional":[145],"information,":[146],"such":[147],"name":[150],"artist":[153],"title":[156],"Moreover,":[160],"tested":[162],"decoding":[164],"methods":[165],"training":[168],"parameters":[169],"evaluated":[171],"our":[172,180],"results":[173],"using":[174],"ROUGE.":[175],"order":[177],"build":[179],"dataset,":[181],"utilized":[183],"'Genious'":[185],"API,":[186],"which":[187],"allowed":[188],"us":[189],"acquire":[191],"songs":[195],"their":[197,202],"explanations,":[198],"well":[200],"rich":[203],"metadata.":[204]},"counts_by_year":[],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2025-10-10T00:00:00"}